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Current Alzheimer Research

Editor-in-Chief

ISSN (Print): 1567-2050
ISSN (Online): 1875-5828

Review Article

Neuroimaging Genetics and Network Analysis in Alzheimer’s Disease

Author(s): Seok Woo Moon*

Volume 20, Issue 8, 2023

Published on: 10 November, 2023

Page: [526 - 538] Pages: 13

DOI: 10.2174/0115672050265188231107072215

Price: $65

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Abstract

The issue of the genetics in brain imaging phenotypes serves as a crucial link between two distinct scientific fields: neuroimaging genetics (NG). The articles included here provide solid proof that this NG link has considerable synergy. There is a suitable collection of articles that offer a wide range of viewpoints on how genetic variations affect brain structure and function. They serve as illustrations of several study approaches used in contemporary genetics and neuroscience. Genome-wide association studies and candidate-gene association are two examples of genetic techniques. Cortical gray matter structural/volumetric measures from magnetic resonance imaging (MRI) are sources of information on brain phenotypes. Together, they show how various scientific disciplines have benefited from significant technological advances, such as the single-nucleotide polymorphism array in genetics and the development of increasingly higher-resolution MRI imaging. Moreover, we discuss NG’s contribution to expanding our knowledge about the heterogeneity within Alzheimer’s disease as well as the benefits of different network analyses.

Keywords: Neuroimaging, genetics, methodology, GWAS, Alzheimer’s disease, network analysis.

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